PTE data automation and management
Cluster BE PTE department is responsible to monitor and guarantee the quality of products with enhanced knowhow in technology and product through proactive. To improve the operation efficiency of engineers, raise the product monitoring level and ensure a smoother workflow, there are three project...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/76082 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-76082 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-760822023-07-04T15:48:18Z PTE data automation and management Hu, Yuning Zhang Dao Hua School of Electrical and Electronic Engineering Technical University of Munich Goh Kian Thong DRNTU::Engineering::Electrical and electronic engineering Cluster BE PTE department is responsible to monitor and guarantee the quality of products with enhanced knowhow in technology and product through proactive. To improve the operation efficiency of engineers, raise the product monitoring level and ensure a smoother workflow, there are three projects completed including Automated KPI Reporting, ALF LOH Auto Reporting, Automated Validation of TDF and Tableau project. In these projects, big data concept and some basic skills and knowledge for data management and automation are essential as project foundation. For supporting programing skill, Python is used as the main programing language to guarantee the process speed and fully automation of solution. Meanwhile, VBA is also used to automate Excel related tasks by creating Macros. By rolling out those solutions, in engineering level no more hand on effort needed for engineers, the report standardization is highly improved and response to some undesired incident get faster to minimize loss. In management level, managers can get an idea of overall performance and monitor every KPI index on time. Master of Science (Green Electronics) 2018-10-24T03:32:57Z 2018-10-24T03:32:57Z 2018 Thesis http://hdl.handle.net/10356/76082 en 64 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Electrical and electronic engineering |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering Hu, Yuning PTE data automation and management |
description |
Cluster BE PTE department is responsible to monitor and guarantee the quality of
products with enhanced knowhow in technology and product through proactive. To
improve the operation efficiency of engineers, raise the product monitoring level and
ensure a smoother workflow, there are three projects completed including Automated
KPI Reporting, ALF LOH Auto Reporting, Automated Validation of TDF and Tableau
project. In these projects, big data concept and some basic skills and knowledge for data
management and automation are essential as project foundation. For supporting
programing skill, Python is used as the main programing language to guarantee the
process speed and fully automation of solution. Meanwhile, VBA is also used to
automate Excel related tasks by creating Macros. By rolling out those solutions, in
engineering level no more hand on effort needed for engineers, the report standardization
is highly improved and response to some undesired incident get faster to minimize loss.
In management level, managers can get an idea of overall performance and monitor every
KPI index on time. |
author2 |
Zhang Dao Hua |
author_facet |
Zhang Dao Hua Hu, Yuning |
format |
Theses and Dissertations |
author |
Hu, Yuning |
author_sort |
Hu, Yuning |
title |
PTE data automation and management |
title_short |
PTE data automation and management |
title_full |
PTE data automation and management |
title_fullStr |
PTE data automation and management |
title_full_unstemmed |
PTE data automation and management |
title_sort |
pte data automation and management |
publishDate |
2018 |
url |
http://hdl.handle.net/10356/76082 |
_version_ |
1772825703898677248 |